The Bioinformatician will work on multiple projects analyzing cancer genome sequencing data from next generation sequencing technologies for assisting in clinical decision-making. The applicant will be involved in NGS data analysis and interpretation, and clinical genomics knowledge mining and content derivation. Applying existing tools, informatics resources, and developing new informatics/software resources, automating/optimizing/customizing repetitive bioinformatics tasks/workflows, implementing research specific novel analysis approaches and computational methods, developing/building professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process.
Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/management tasks, and building project specific workflows implementing automated analysis steps.
Investigation, customization, prototyping for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.
Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis.
Suggesting/exploring alternative/multiple data processing approaches.
Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. Attending/contributing to/presenting at internal/external scientific meetings/conferences.
Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.